title: Ultrafast all-optical implementation of a leaky integrate-and-fire neuron.
abstract: In this paper, we demonstrate for the first time an ultrafast fully functional photonic spiking neuron. Our experimental setup constitutes a complete all-optical implementation of a leaky integrate-and-fire neuron, a computational primitive that provides a basis for general purpose analog optical computation. Unlike purely analog computational models, spiking operation eliminates noise accumulation and results in robust and efficient processing. Operating at gigahertz speed, which corresponds to at least 108 speed-up compared with biological neurons, the demonstrated neuron provides all functionality required by the spiking neuron model. The two demonstrated prototypes and a demonstrated feedback operation mode prove the feasibility and stability of our approach and show the obtained performance characteristics.
authors.affiliation: Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA. kravtsov@princeton.edu
authors.forename: Konstantin S
authors.initials: KS
authors.lastname: Kravtsov
authors.forename: Mable P
authors.initials: MP
authors.lastname: Fok
authors.forename: Paul R
authors.initials: PR
authors.lastname: Prucnal
authors.forename: David
authors.initials: D
authors.lastname: Rosenbluth
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D040761:Biomimetic Materials; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D009474:Neurons / Q000502:physiology*; D055096:Optical Devices; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*